Doctorant : Loïc Pérennou, Cnam/Outscale Date et lieu: 23 octobre à 14h en salle 17.2.20, 2 rue Conté, 75003 Paris. Titre: Design de l’expérience des machines virtuelles: Allocation de ressources prédictive pour les infrastructures cloud. Composition du jury : Daniel Hagimont
Recent publications
- Non-Terrestrial Disaggregated RAN: Prospective Architectures and Performance Insights
- Apprentissage par renforcement pour la personnalisation de l’UX dans les Écosystèmes d’Affaires Numériques
- Energy Optimization for Multi-Band Cellular Networks: A Traffic Prediction-Based Strategy
- Comparative E2E Performance Analysis of O-RAN Designs in a 5G Standalone Testbed
- Data-driven Energy Optimization in Mobile Networks with User Experience Guarantees
- Software repository: Automation framework software
- DREAM: Dual foREcAsting Model for Network Anomaly Detection
- GNN graph structures in network anomaly detection
- Intent-Based Approaches for Industry 4.0 Applications: A Systematic Mapping Study
- Taxonomy of the Scientific Domain of Smart Life
- On flexible association and placement in disaggregated RAN designs
- Intent-Based Qualification of Industry 4.0 Components
- Design and development of intelligent and secure Cross Layer communication protocols for VANET networks
- Line-rate Botnet Detection with SmartNIC-Embedded Feature Extraction
- Proceedings of the 3rd International Conference on 6G Networking (6GNet 2024)
